2 papers
cs.RO2025
Enhanced Probabilistic Collision Detection for Motion Planning Under Sensing Uncertainty
Xiaoli Wang, Sipu Ruan, Xin Meng +1
Probabilistic collision detection (PCD) is essential in motion planning for robots operating in unstructured environments, where considering sensing uncertainty helps prevent damag…
cs.RO2023
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration
Sipu Ruan, Weixiao Liu, Xiaoli Wang +2
This paper proposes a learning-from-demonstration method using probability densities on the workspaces of robot manipulators. The method, named "PRobabilistically-Informed Motion P…